惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

MongoDB | Blog
MongoDB | Blog
B
Blog
Y
Y Combinator Blog
大猫的无限游戏
大猫的无限游戏
aimingoo的专栏
aimingoo的专栏
B
Blog RSS Feed
博客园 - Franky
V
V2EX
IT之家
IT之家
WordPress大学
WordPress大学
博客园 - 三生石上(FineUI控件)
J
Java Code Geeks
F
Fortinet All Blogs
I
InfoQ
云风的 BLOG
云风的 BLOG
腾讯CDC
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
月光博客
月光博客
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
N
Netflix TechBlog - Medium
宝玉的分享
宝玉的分享
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
P
Proofpoint News Feed
Microsoft Security Blog
Microsoft Security Blog

Datadog | The Monitor blog

Introducing our open source AI-native SAST Instrument and monitor Boomi integration flows with OpenTelemetry and Datadog Not all index scans are equal: How we cut query latency by over 99% Platform engineering metrics: What to measure and what to ignore Integrate Recorded Future threat intelligence with Datadog Cloud SIEM CI/CD security: threat modeling using a MITRE-style threat matrix CI/CD security: How to secure your GitHub ecosystem Ingress NGINX is EOL: A practical guide for migrating to Kubernetes Gateway API Operating agentic AI with Amazon Bedrock AgentCore and Datadog LLM Observability: Lessons from NTT DATA Introducing the Datadog Code Security MCP Capture and analyze custom heatmaps in Session Replay Understand session replays faster with AI summaries and smart chapters Monitor ClickHouse query performance with Datadog Database Monitoring How we designed empathetic alert sounds for on-call engineers Search and act across Datadog to resolve issues faster with Bits Assistant Measure the business impact of every product change with Datadog Experiments Analyzing round trip query latency Configuring JavaScript caches for better performance Introducing Bits AI Dev Agent for Code Security Datadog achieves ISO 42001 certification for responsible AI Monitor Nutanix clusters, hosts, and VMs with Datadog Monitor Juniper Mist in Datadog A new Host Map for modern infrastructure Annotate traces to improve LLM quality with Datadog LLM Observability What’s new in Cloud SIEM: AI-powered investigations, enhanced threat intelligence, and scalable security operations Explore Kubernetes with native OpenTelemetry data Monitor Oracle Fusion Cloud Applications with Datadog Announcing the Datadog Terraform provider v4.0.0 Scaling Kubernetes workloads on custom metrics How to design cloud environments for AI-powered threat analysis
Introducing the Datadog Developer Hub
2025-05-20 · via Datadog | The Monitor blog
Arielle Mella

Arielle Mella

Finding the right integrations, libraries, and open source tooling to extend a product has long been a challenge for developers. While Datadog has a vast offering of monitoring and observability solutions, many teams need to customize their setup in some way—whether by extending the Datadog Agent, integrating with third-party services, or using SDKs to interact with the Datadog API. Previously, these resources were spread across various repositories and documentation pages, which made it challenging for developers to find the most suitable tool for their needs.

We are pleased to announce the launch of the Datadog Developer Hub, a centralized resource for developers to find components that enable them to extend the capabilities of Datadog. The Developer Hub provides a searchable catalog of official Datadog and community-contributed integrations and libraries, learning resources on how to build integrations, and information on how to join the community of Developer Hub contributors.

Datadog Developer Hub homepage with featured integrations, including Serverless Sample App and hot-shots for Node.js.

Access a collection of tools to extend Datadog

The Developer Hub brings together a variety of tools that developers can use in conjunction with Datadog, including:

  • Agent integrations: Agent integrations enable you to extend the Datadog Agent by specifying the data it can ingest, how it processes that data, and where it sends it.
  • Core Datadog integrations: Core integrations are maintained by Datadog and provide robust, out-of-the-box functionality for monitoring databases, cloud providers, messaging systems, and more.
  • Libraries: These include Datadog and community-contributed API and DogStatsD client libraries, APM and Continuous Profiler libraries, serverless client libraries, command-line tools, and UI wrappers around the Datadog API.
  • Sample apps: A growing collection of sample apps enable you to kick-start your Datadog instrumentation journey.
Datadog Developer Hub page showing filtered integrations, highlighting the dd-trace-go (v1) library for Go.

Check out the Datadog Developer Hub today, your go-to destination for discovering integrations, libraries, tools, and learning resources that extend Datadog’s capabilities. The Developer Hub will continue to grow as new resources are added to help you customize and enhance your observability workflows. If you aren’t yet a Datadog user, you can sign up for a free 14-day trial.